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Bay — the cloud for the agentic era

Bay — the cloud for the agentic era.

You don't pick a database, a region, or an instance size. Your coding agent and Bay work that out, ship it to a real address, and keep it alive.

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thebay.cloud · Docs · Templates · Changelog


Give this README to your coding agent

Paste that link into Claude Code, Cursor, Codex or Copilot and say "set this up". No account, no dashboard step, no keys to find first — the agent reads the manual at thebay.cloud/llms.txt and drives the rest.

npm install -g @thebaycloud/cli && bay ship

Ship anything in one CLI command

One unedited take: a coding agent is asked to put the app online, installs the CLI, ships, and verifies the app is serving with Postgres wired in — ending on the live URL with the owner's toolbar on it. Watch it directly if the player does not load. Recorded before the rename, so the recording says Supersonic and the address ends .supersonic.cv; the product is Bay and new apps get *.thebay.cloud.

Point Bay at a folder or a repository. It reads the code, works out how to build it, provisions the database and storage the code implies, injects the credentials, and serves the result on a real address with a certificate. Next, Django, Rails, Go, Phoenix, or anything that can be put in a container.

There is no configuration step you have to get through first. examples/pgapp contains no Dockerfile, no infrastructure, and no mention of a database — just require("pg") and a DATABASE_URL it expects somebody else to set. That dependency is the request; Bay reads it, provisions Postgres, isolates it, and fills the variable in.

The shape of it. One control plane decides, and nothing pushes to a machine:

     you  ·  your coding agent
              │  CLI · GitHub push · git URL
              ▼
       control plane            resolve the config, plan the build, provision
              │
     ┌────────┴────────┐
     ▼                 ▼
  the fleet         static apps
  one sandbox       published to a bucket
  per app, a
  resident agent
  pulling desired
  state
              │
              ▼
   load balancer ◄── wildcard DNS + SSL

Each node pulls its desired state, compares it to what is running, and makes the difference go away. That single loop is the whole runtime — which is why a node that falls behind catches up on its own rather than needing anybody to reach into it. Images are built on the fleet's own BuildKit, whose cache is local to the node and stays warm, and are deployed by digest, so "the new version" is a fact rather than a tag.

Star the Repository

If Bay is useful to you, a star is the cheapest way to say so — and the thing that decides whether the next person finds it.

Starring the thebaycloud/bay repository on GitHub

Quickstart

npm install -g @thebaycloud/cli
cd your-project
bay ship --wait

bay ship --wait: uploading, detecting Node, provisioning Postgres, building on the fleet, live URL

A real bay ship --wait against examples/pgapp, which is still up.

The first run opens a browser once so you can sign in; after that the token is on disk and your agent inherits it. Without --wait, ship returns as soon as the URL is live and the build continues behind it; with --wait it stays attached and streams the build to completion, which is the mode to give an agent that needs to know the deploy finished before it does anything else.

Two commands worth knowing before the first ship, because both are local — no cloud, no build, about two seconds each:

bay init     # writes a draft supersonic.json, and names what it could NOT determine
bay check    # resolves and validates that file exactly as a deploy would

bay init writes a draft config and names what it could not determine; bay check prints what each phase would run

bay init prints its open questions rather than guessing at them — which service owns /, whether a migration runs before traffic, which env names are secrets. None of those are answerable from files, and a guess would be indistinguishable from a decision.

Builds every service

Postgres, MySQL, Mongo and Redis come up with your app, picked from what your code already imports. Object storage sits behind a CDN. Workers and cron run beside the web process, and a release phase runs before any traffic reaches it. You provision none of it.

The Data view of a live app: its Postgres tables with row counts, and its storage bucket

Nobody provisioned that database. It is one app's own Postgres, with the tables its code created, browsable from the app's page.

Hands your agent bug fixes

Bay watches the app after it is live. When something breaks in production, it reads the logs and the repository together and returns an instruction written for the thing that wrote the code:

bay errors <app>     # production errors, last 7 days
bay diagnose <app>   # a fix prompt, ready to paste into your coding agent

A failed ship on the Ships screen: the error the pipeline hit, what it decided, and a fix prompt for the agent

A real failed deploy. Bay says what broke, shows what the pipeline decided on the way there, and hands back the instruction — not a stack trace to interpret.

diagnose does not print a stack trace and leave you to it. It prints the actual sentence — migrations never ran, so the schema is empty; add a release step that runs them before the web process starts, then deploy again — because a trace is the symptom and the agent needs the cause.

MCP and CLI instead of a dashboard

Everything the dashboard does, the CLI does, and every command takes --json:

bay apps                          # everything you have shipped
bay status <app>                  # revision, url, env, database
bay logs <app> --follow           # what production actually saw, live
bay share <app> add ada@acme.com  # let one person in, or a whole domain
bay domains <app> add acme.com    # a domain you own, and the record to create
bay db <app> --sql "select ..."   # its tables, row counts, one read-only statement
bay exec <app> -- <command>       # run something in the app's environment
bay rollback <app>                # back to the version that worked
bay env <app> set KEY=VALUE       # secrets, never in the code

bay help --all lists the rest. Anything that can run a command can run your infrastructure — which is the point, because the thing running commands is usually not a person any more.

MCP is next. Your agent will call Bay as tools instead of shelling out — deploy, read the logs, apply a fix, without leaving the editor it is already in. Not shipped yet, and labelled that way here for the same reason it is labelled that way on the site.

Watch it get built, at its own address

The address answers before the app does. Until the app is ready, the URL you were handed serves the build itself, and every movement in it stands for one real line of that build.

The Room: a harbour scene where a ship is built and launched, the live build log along the bottom and a stage counter

Frames from one real build at m1d9l.thebay.cloud. The log along the bottom is that build's own output and the counter is its real stage. Only the owner sees this — send the link to anybody else and they get a page with no build on it.

Self-host something you already use

Bay runs software you did not write as happily as software you did, and self-hosting a public repository is free for the first year.

The templates — Excalidraw, Open WebUI, Cal.com — are prompts rather than buttons. You copy one, your agent reads it, clones the source and ships it. No form and no dashboard step, since the agent is already holding everything the deploy needs.

Each template page says up front what gets provisioned, which secrets are generated for you, and the one or two only you can supply. A one-click deploy that then demands a Google OAuth client is worse than a page that warned you.



Everything below is how it is built.
Nothing above needs it.

Read this before cloning

This repository is open to read, not yet to run. Bay is welded to one Google Cloud project — Cloud Run, Cloud SQL, Cloud Build, Certificate Manager, Artifact Registry, Secret Manager and Compute for the fleet — not as configuration you could point elsewhere, but as the assumption underneath the code. There is no docker compose up and no local mode.

You can read every line and run the test suites. You cannot stand up your own copy without a GCP project, billing, and a day of work nobody has written down yet. That is said here rather than discovered after a clone. If self-hosting Bay itself matters to you, open an issue — it is a question of demand, not of principle.

Repository

Path What it is
apps/web The control plane. API, dashboard, deploy pipeline, build orchestration, billing, GitHub integration. Next.js 14 · Postgres · NextAuth. Every decision the platform makes happens here — including lib/buildplane.ts, which drives BuildKit
apps/landing thebay.cloud — the marketing site, changelog, self-host templates, and /llms.txt, the manual coding agents read
packages/cli bay — the CLI on npm (MIT)
packages/detector The stack detector. One implementation, compiled into the CLI at publish time so the CLI and the server cannot disagree about what a project is
packages/prompts The rules handed to coding agents. One source, copied into each app by scripts/sync-prompt-rules.mjs
services/fleet supersonicd — the Go agent on each VM: reconcile loop, sandboxes, router. Plus the node image and fleetctl.sh
services/proxy The front door. Resolves a hostname to an app, decides who may open it, and serves the Room
services/static Serves static apps out of a bucket
services/screenshots One screenshot per app after it deploys, for the dashboard
scripts/ The GCP setup scripts — the domain, the deploy worker, the deploy job, BuildKit provisioning
examples/ Small apps used as deploy fixtures, including ones that are broken on purpose
adrs/ Where a contribution starts. See CONTRIBUTING.md
docs/ ARCHITECTURE.md, VM-FLEET.md, and the ADRs

Two documents are worth reading before you change anything:

  • CONTEXT.md — the vocabulary. There are two languages here, platform and product, and they do not mix. A word in the wrong one is a bug.
  • AGENTS.md — how agents work in this repo: the issue tracker, the triage labels, where domain docs live.

Local development

git clone https://github.com/thebaycloud/bay.git && cd bay

The control plane talks to two Cloud SQL instances — its own tables on one, every app's database on the other — so running apps/web against real data means one cloud-sql-proxy per instance:

cloud-sql-proxy -g --port 5433 <project>:<region>:supersonic-platform-pg
cloud-sql-proxy -g --port 5434 <project>:<region>:supersonic-shared-pg
cd apps/web
npm install
npm run dev        # http://localhost:3000
npm test
npm run lint
npm run deadcode   # knip

Migrations in apps/web/db/*.sql are applied deliberately, never automatically:

npm run db:migrate

Careful: never run the apps/web suite under git bisect run — the fixtures write into the real .git.

No GCP account? Most of the repo doesn't need one. The CLI, the fleet agent and the fixtures all build and test on their own:

cd packages/cli         && npm install && npm test
cd services/fleet/agent && go build ./... && go test ./...
cd apps/landing         && npm install && npm run dev

CI runs all of it on every pull request.

Contributing

We take contributions as human-written text, not code — see CONTRIBUTING.md. Describe the change you would like informally in a .txt or .md file in adrs/ and open a pull request with just that file. If we are aligned, we handle the implementation.

That is not a filter on your writing. A change to the deploy pipeline, the edge, or the fleet agent lands on live tenant applications minutes after it merges, and reviewing a patch against that costs more than reading a paragraph does.

Bugs are issues. Vulnerabilities are private — SECURITY.md, never a public issue. Before writing anything here, read CONTEXT.md and match the vocabulary.

License

AGPL-3.0, except packages/cli, which is MIT so it can be installed anywhere without pulling its licence along.

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The open-source cloud for the agentic era. Don't pick a database, a region, or a RAM slider - your coding agent and Bay decide, then keep the app alive and scaling 24/7

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